Tissue characterization in cerebral ischemia using multiparameter MRI

H. S. Zadeh, R. Hammoud, M. A. Jacobs, S. C. Patel, P. D. Mitsias, M. Pasnoor, R. Knight, Z. G. Zheng, M. Lu, M. Chopp

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


After pre-processing and segmentation, the proposed method scores tissue regions between 1 and N. Score 1 is assigned to normal white matter and score N to CSF. Lesion zones are assigned a score based on their relative levels of similarities to white matter and CSF. To evaluate the method, 15 rats were imaged by a 7T MRI system at one of the three time points (acute, sub-acute, chronic) after MCA occlusion. Then, they were sacrificed and their brains were sliced and prepared for histological studies. MRI of 2 or 3 slices of each rat brain, using 2 DWI (b = 400, b = 800), 1 PDWI, 1 T2WI, and 1 T1WI, was used and an MRI score between 1 and 100 (N = 100) was found for each region. Segmented regions were mapped onto the histology images and were scored by an experienced pathologist, from 1 to 10. MRI scores were validated using histology scores. To this end, correlation coefficients between the two scores (MRI and histology) were found. The results showed excellent correlations between MRI and histology scores at different time points.

Original languageEnglish (US)
Pages (from-to)387-398
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2001
Externally publishedYes


  • Cerebral ischemia
  • MRI
  • Magnetic resonance imaging
  • Medical image analysis
  • Stroke
  • Tissue characterization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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